{"id":"W4385442752","doi":"10.17269/s41997-023-00798-x","title":"The association between income inequality and adolescent body mass index: findings from the COMPASS study (2016–2019)","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; McGill University; Brock University; University of Alberta","funders":"Institute of Population and Public Health; Institute of Nutrition, Metabolism and Diabetes; Canadian Institutes of Health Research; Health Canada; Women and Children's Health Research Institute","keywords":"Body mass index; Demography; Overweight; Economic inequality; Obesity; Inequality; Psychological intervention; Medicine; Geography; Psychology; Gerontology; Sociology; Psychiatry; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009620956,0.0002317936,0.0002654013,0.001010128,0.0006154865,0.00108336,0.0007160222,0.0006731478,0.001864269],"category_scores_gemma":[0.003342465,0.0003394556,0.0006874357,0.002638284,0.000365472,0.0007354593,0.001337514,0.001471866,0.0002832083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009781967,"about_ca_system_score_gemma":0.00170771,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3090932,"about_ca_topic_score_gemma":0.3903304,"domain_scores_codex":[0.9993981,0.0001001505,0.00007725798,0.0001062781,0.0001385435,0.0001797399],"domain_scores_gemma":[0.9978979,0.0001821076,0.0007652005,0.0001132538,0.0004888396,0.0005528694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004859724,0.00002072531,0.9981384,0.000009596635,0.0000678088,0.00002820339,0.0001271085,0.00001393414,0.00002439515,0.00005550985,0.000541179,0.0009245737],"study_design_scores_gemma":[0.000001892741,0.000006587989,0.9993852,0.00001000405,0.00001699608,0.00001864368,0.0002152628,0.00002406357,0.000006347557,0.000009368288,0.0003039643,0.000001634919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913132,0.001351708,0.00005491487,0.0009578954,0.00007595016,0.000009548918,0.004771207,0.000003579455,0.001462038],"genre_scores_gemma":[0.9956551,0.0005968454,0.00005065385,0.0001857963,0.00005338742,0.0000134811,0.002840088,0.000004702475,0.0005999364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6909068,"threshold_uncertainty_score":0.6145883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05920167634274475,"score_gpt":0.3255646430195697,"score_spread":0.266362966676825,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}